On This Day in Math - August 1
pballew.blogspot.com·23h·
Discuss: www.blogger.com
🍎Apple Computing
Windows NT 4.0: Released to Manufacturing July 31, 1996
dfarq.homeip.net·1d
🔌Operating system internals
Mac.c Stealer Takes on AMOS:
hackernoon.com·1d
🖥️Vintage Macintosh
IEPG at IETF 123
blog.apnic.net·1d
📡Network Protocol Design
Build This DIY Emergency Power Tool for Your Home!
hackster.io·20h
⚙️DIY Electronics
GLM-4.5 Now Available on SiliconFlow: Open-Source SOTA Model for Reasoning, Code, and Agentic Applications
dev.to·3d·
Discuss: DEV
⚙️TLA+
Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures
arxiv.org·2d
🌀Differential Geometry
Show HN: AgentOS-An Early OS for Coding Agents Memory and Execution and Learning
news.ycombinator.com·1d·
Discuss: Hacker News
🌐WASI
Elon Musk says xAI will have 50 million 'H100 equivalent' Nvidia GPUs by 2030 — but at what cost?
techradar.com·2d
🖥️Modern Terminals
Cross-Platform Process Management with Pause/Resume
reddit.com·22h·
Discuss: r/golang
🌊Stream Processing
"Intelligenza Artificiale for Artificial Intelligence Research and Development"
news.ycombinator.com·2d·
Discuss: Hacker News
🧭Content Discovery
What is Cursor Rules? A Step-by-Step Guide
dev.to·16h·
Discuss: DEV
⚡Proof Automation
Aspire Roadmap 2025: Code-first DevOps, polyglot, and AI
dev.to·16h·
Discuss: DEV
🧩WASM Components
Machine Learning Fundamentals: logistic regression example
dev.to·1d·
Discuss: DEV
🧠Machine Learning
I Built an Vibe Coding Misalignment Detector (and Used It to Build Itself)
github.com·1d·
Discuss: Hacker News
✅Archive Fixity
Second-Order Outcomes: Why You Don't Always Get What You Want
hackernoon.com·1d
🎯Proof Tactics
Efficient Sub-pixel Motion Compensation in Learned Video Codecs
arxiv.org·3d
🧠Learned Codecs
VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization
arxiv.org·3d
🏠Homelab Archaeology
TriangleMix: A Lossless and Efficient Attention Pattern for Long Context Prefilling
arxiv.org·3d
🔨Compilers
FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical Segmentation
arxiv.org·4d
🧠Machine Learning